Handover management in software-defined 5G small cell networks via long short-term memory

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dc.authoridÇalhan, Ali/0000-0002-5798-3103
dc.authoridCİCİOĞLU, MURTAZA/0000-0002-5657-7402
dc.authorwosidÇalhan, Ali/H-1375-2014
dc.authorwosidCİCİOĞLU, MURTAZA/AAL-5004-2020
dc.contributor.authorCicioğlu, Murtaza
dc.contributor.authorÇalhan, Ali
dc.date.accessioned2023-07-26T11:58:01Z
dc.date.available2023-07-26T11:58:01Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstract5G and beyond communication technologies have started to spread around the world. Higher frequencies lead 5G base stations to have small coverage areas. Besides, the wireless network users have mobility and may move fast among the base stations. Software-defined networking (SDN) is a promising network solution for dynamic and dense networks such as 5G networks. The handover process defines the transfer of mobile users' connections among the base stations and the handover has to happen frequently in ultra-dense networks. In this study, we aim to construct a more robust handover based on long short-term memory (LSTM) with SDN in terms of the number of handover and handover failures. LSTM, linear regression, support vector machine, and tree algorithms performances have been investigated for handover. According to the R-2 values of LSTM, SVM, tree, linear regression results are obtained as 0.998, 0.980, 0.980, and 0.75, respectively. Root mean square error, coefficient of determination (R), mean squared error, and mean absolute deviation statistics prove the improvement of the handover mechanism. In the proposed approach, approximately 30% reduction in the HO failure ratio and 22.22% reduction number of handover have been observed.en_US
dc.identifier.doi10.1002/cpe.6832
dc.identifier.issn1532-0626
dc.identifier.issn1532-0634
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85122969201en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1002/cpe.6832
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13375
dc.identifier.volume34en_US
dc.identifier.wosWOS:000745701000001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇalhan, Ali
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofConcurrency and Computation-Practice & Experienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subject5g And Beyond; Handover; Lstm; Small Cellen_US
dc.subjectSchemeen_US
dc.titleHandover management in software-defined 5G small cell networks via long short-term memoryen_US
dc.typeArticleen_US

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